下肢外骨架机器人的控制策略研究:一篇评论
Xin Xu1, Changbing Chen1, Zuo Sun1
1China Coal Research Institute, Beijing 100013, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本综述探讨了用于康复下肢外骨架的控制策略,这对于步行训练和恢复至关重要. 它分析了在辅助设备中推进人机交互的关键任务和挑战.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 康复工程 康复工程
- 人与计算机的交互
背景情况:
- 人口老龄化和神经疾病增加了对辅助设备的需求.
- 下肢外骨架机器人对于步行训练和功能恢复至关重要.
- 有效的控制策略对于无的人机交互至关重要.
研究的目的:
- 系统地审查康复下肢外骨架机器人的控制策略.
- 分析典型控制任务的机制,场景和特征.
- 识别外骨控制中的挑战和限制.
主要方法:
- 审查最近的研究控制策略在一个层次的"感知-决策-执行"框架内.
- 分析重点是轨迹再现,运动跟踪,必要时辅助 (AAN) 和运动意图预测.
- 检查与驱动系统,多源感知和算法适应性相关的挑战.
主要成果:
- 对四个关键控制任务的核心机制和技术特征进行详细分析.
- 识别挑战,包括驱动系统合,多源感知和算法通用性.
- 创新地将终端效应器控制与硬件分开,以实现通用框架.
结论:
- 提升控制策略对于提高外骨在康复中的性能至关重要.
- 解决感知,适应性和硬件-软件集成方面的挑战是关键.
- 一个通用的控制框架可以提高康复性外骨架的有效性和适用性.
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